E-government research insights: Text mining analysis

作者：

Highlights：

• Explored research in e-government and tried to investigate research direction.

• Used the reported keywords for a large selected set of journals.

• Used text mining based review of 2018 articles and 12,692 keywords.

• Open government, smart cities, and analytics topics are attracting new research.

• Researchers continued to pursue other areas (details are in the paper).

摘要

•Explored research in e-government and tried to investigate research direction.•Used the reported keywords for a large selected set of journals.•Used text mining based review of 2018 articles and 12,692 keywords.•Open government, smart cities, and analytics topics are attracting new research.•Researchers continued to pursue other areas (details are in the paper).

论文关键词：E-government,Research agenda,Research directions,Typology,Keywords analysis,Text mining

论文评审过程：Received 20 November 2018, Revised 15 September 2019, Accepted 16 September 2019, Available online 18 October 2019, Version of Record 28 October 2019.

论文官网地址：https://doi.org/10.1016/j.elerap.2019.100892